About the position
The College of Computing, Data Science, and Society at the University of California, Berkeley invites applications for a pool of qualified temporary lecturers to teach CDSS courses should an opening arise. Screening of applicants is ongoing and will continue as needed. The number of positions varies from semester to semester (fall, spring and summer sessions), depending on the needs of the unit. About CDSS: Established July 1, 2023, the College of Computing, Data Science, and Society (CDSS) is the first new college at Berkeley in over 50 years. The College was created to meet the demands and opportunities at a time when data touches nearly every aspect of our lives. Innovations in computing and statistics are converging to create unprecedented opportunities to use data science, machine learning, and artificial intelligence to tackle pressing societal challenges from human health to climate change. CDSS offers outstanding undergraduate major programs in Computer Science, Data Science, and Statistics. Over 1,500 students graduated with a degree in these majors in Spring 2024, and one in four held a second major in another discipline. CDSS undergraduates study with faculty from a wide range of fields, where they gain the knowledge, skills, and experiences needed to succeed in today’s datafied world, interact with data ethically, and masterfully engage as informed leaders. CDSS seeks candidates who can support the success of all students through inclusive curriculum, classroom environment, and pedagogy. Responsibilities: CDSS is seeking outstanding instructors to be appointed in the non-Senate Lecturer title series who can teach small and large courses. We are particularly interested in instructors who can teach courses that satisfy the Human and Social Dynamics of Data and Technology requirement for the college. This requirement is designed for the purpose of developing an understanding of how technology and data interact with human and societal contexts, including ethical considerations and applications such as education, health, law, natural resources, and public policy. Examples include: Anthropology of Science, Data, and Technology; Artificial Humanities: AI, Language, and Fiction; and Data and Justice. Teaching a CDSS course may include holding office hours, assigning grades, advising students, preparing course materials (e.g.,slides, syllabus, homework assignments), providing clear and prompt feedback on student work, and maintaining the course website. Please note: The use of a lecturer pool does not guarantee that an open position exists. See the review date specified in AP Recruit to learn whether the unit is currently reviewing applications for a specific position. If there is no future review date specified, your application may not be considered at this time. Division : https://cdss.berkeley.edu/
Qualifications
Basic qualifications (required at time of application) Must have an advanced degree or be enrolled in an advanced degree program at the time of application. Additional qualifications (required at time of start) Advanced degree. Candidates must already be authorized to work in the United States. Preferred qualifications A Ph.D. or equivalent international degree that is cross-disciplinary with data science in either the social sciences, humanities, education, health, law, natural resources, public policy, computer science, statistics, or engineering, is preferred. Ability to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.
How to apply
Document requirements Curriculum Vitae - Your most recently updated C.V. Cover Letter Statement of Teaching - Please discuss prior teaching experience, teaching approach, and future teaching interests. This can include, for example, specific efforts, accomplishments, and future plans to support the success of all students through inclusive curriculum, classroom environment, and pedagogy. Reference requirements 3-4 required (contact information only) Apply link: https://aprecruit.berkeley.edu/JPF04959 Help contact: tjcaskey@berkeley.edu
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